Back close
Block Image

SiGMA Lab – The research Lab was established in 2014. The research team aims at data-driven solutions for healthcare, infrastructure and customized user services using Intelligent frameworks boosted by machine learning and artificial intelligence tools. Enhancing user experience and preferences through critical insights, automated decisions and innovative products, the team works towards improving lives in remote areas, villages and smart cities.


Ph.D Scholars:

  • Mrs. Parvathy Dharmarajan – Decision Support Systems for Remote Healthcare
  • Mrs. Sneha Kandacharam – Automatic Incident Detection in Traffic on Indian Roads
  • Mrs. K. R. Bindu – Machine Translation
  • Mrs. Siniraj – Recommendation Systems
  • Ms. Archana Rajan – Food Security
  • Mr. Prabhu – Cognitive Robotics
  • SiGMA Lab research team focuses on Feature Engineering, Machine Learning, Artificial Intelligence and Quantum Machine Learning.
  • AI can be used for transforming rural India using digital technologies and intelligent systems.
  • The team is involved in exploring problems identified with farmers, tribals and women in building cost-effective solution frameworks.
Artificial Intelligence Devices
  • NVIDIA ano Jetson
  • Google Home
  • Amazon Echo Dot
  • Smart Robo Car Kit
  • Raspberry PI Boards
  • Humanoid Biped Robot
  • DJI Tello Drone
  • Arduino Board

The lab contains the following equipment:

  • Workstation with 2 NVIDIA V100 GPUs
  • Dell Desktop i7 – NVIDIA K40 GPU
  • Visualization – 4K monitors, 3D TV
Academic Programs
  • Associated with M.Tech(Artificial Intelligence and Data Science) Master’s program at the Department of Computer Science and Engineering, Coimbatore.
  • Workshops Series – “Machine Learning and Applications”
  • NVIDIA – Certified Deep Learning Institute Ambassador
  • – Bennett University, Delhi, India
  • ConfirmU – Behaviour modelling of customers in Banks, Bangalore
  • CheckanInvoice – Invoice Fraud Detection, Bangalore
  • FrontM – Remote Healthcare, Bangalore
  • 24(7).ai – Conversational AI
  • Green Shores Capital, UK
  • ARAM Foundation, Tirupur
  • TCS Research Lab, Bangalore
  • Feature Engineering Filters – G-lets feature extractors
  • Feature Engineering Algorithms- Edge Detection
  • G-lets Based Machine Learning Models


Funded Projects
    Automation of Transport and Building Feature Extraction using Deep Learning with Super-Resolution Enhancement of Satellite Imagery “
    Rs. 30/- lakhs
  2. LAM Research, USA :
    “Generic Bayesian Network Model for Detection of Etch Profile from SEM/TEM Images across Applications”
    Rs. 18/- lakhs
Research Projects

Completed Projects

  1. Parallelizing Low Vision Feature Extraction through GPUs
  1. Super resolution of Images for Breast Cancer from Mammography Images
  2. Medical Signal Processing using IoT Devices
  3. 3D Map Generation for Visual Wayfinding
  1. 3D Modelling from MRI Images
  2. Feature based Transfer function design for Volume Rendering
  3. 3D Modelling of Nano Surfaces
  4. Context Aware User Profiles for Mobile Phones
S. No Year Project Title
1. 2017-18 Electrolaryngeal Speech Enhancement [1]
2. 2017-18 Object Shapes using Sparse Representations [2]
3. 2017-18 Facial Expression Recommendations
4. 2017-18 Traffic Accident Detection
5. 2017-18 Traffic Incident Detection
6. 2017-18 Radar Signal Processing for Traffic Incidents
7. 2017-18 Radar Sensor Development
8. 2016-17 Dimensionality Reduction using Neural Networks
9. 2016-17 Medical Diagnosis Support System for Remote Healthcare [3]
10. 2016-17 WayFinding for Emergency Services [4]
11. 2016-17 Satellite Feature Extraction for Road Detection
12. 2015-16 Thermal Image Processing – Action Recognition
13. 2015-16 WayFinding through Complex Indoor Environment [5]
14. 2015-16 Time-Series Data [6]
15. 2015-16 Superresolution of Mammography Images [7]
16. 2015-16 Spectral Representation of Principal Components in Signals [8]
  1. Aravind A. V, Raadhikaa S, and Rajathilagam B., Electrolaryngeal Speech Improvement through Phoneme Enhancement, Workshop on Speech Processing for Voice, Speech and Hearing Disorders (WSPD) 2018, INTERSPEECH 2018, Mysore, India. (Accepted).
  2. Bhalaji N., and Rajathilagam B.,Object Shapes from Regular Curves through Sparse Representations”, Procedia Computer Science, Elsevier, RoSMA 2018.
  3. Parvathy Dharmarajan and Rajathilagam B., “Cloud-Based e-Healthcare Service System Design for On-Demand Affordable Remote Patient Care”, IC3T, 2016.
  4. Bharani A., Raadhika S., Akshay Kolli., and Vidhya S., Smartphone Based Interactive Indoor Navigation System, Journal of Advanced Research in Dynamic and Control Systems, pp 953-956, 2018.
  5. Sobika S and Rajathilagam B., “Intelligent System for Wayfinding Through Unknown Complex Indoor Environment”, ISTA, 2016.
  6. Suman S., and Rajathilagam B., Outlier Detection in Time-Series Data: Specific to Nearly Uniform Signals from the Sensors. In: Hemanth D., Smys S. (eds) Computational Vision and Bio Inspired Computing. Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham, 2018.
  7. Swetha R Nair and Rajathilagam, B., “Super Resolution of Mammograms for Breast Cancer Detection”, International Journal of Applied Engineering Research, June 2015.
  8. Rajathilagam B and Murali Rangarajan, “Spectral Representation of Principal Components in Signals and Images using G-lets Decomposition of Subbands”, IEEE TENCON 2016, Singapore.
  9. Rajathilagam B., Dr. Murali Rangarajan, and Soman, K. P., “G-Lets: Signal Processing Using Transformation Groups”, vol. arXiv:1201.2995v1, 2012
  10. Rajathilagam B., Rangarajan, M., and Soman, K. P., “Frequency Analysis of Signals and Images using G-Lets”, International Journal of Imaging and Robotics, vol. 8, pp. 30-48, 2012.[Abstract]
  11. Rajathilagam B., Murali, R., and Balaji, B., “Dynamic Context-specific User Profiles by Regression Modelling”, Proceedings of GSTF CGAT. 2015.
  12. Rajathilagam B., XC, D. P., and Jayaraj, B., “Techniques for Secure Communication in Emerging Wireless Ubiquitous Networks”, The International conference on High Power Computing (HiPC), Bangalore, India, 2004. 2014.
  13. Rajathilagam B., Jayaraj, B., and Rangan, D. P. Venkat, “Naming, Location tracking, Synchronizing and Aggregating Wireless Sensor Networks”, In the proceedings of SPIE, Optics East 2005, Boston, USA., vol. 5993. pp. 5993 – 17, 2005.
  14. Dharmarajan and Dr. Rajathilagam B., “Cloud-Based e-Healthcare Service System Design for On-Demand Affordable Remote Patient Care”, in Computer Communication, Networking and Internet Security, Singapore, 2017.[Abstract]
  15. Rajathilagam B. and Prakash, K. S. S., “An Adaptive Communication Model for Large Wireless Sensor Networks”, in 2007 2nd International Conference on Pervasive Computing and Applications, 2007.[Abstract]
  16. Rajathilagam B., Rangan, D. P. Venkat, and , “Techniques for Secure Communication in Emerging Wireless Ubiquitous Networks”, in The International conference on High Power Computing (HiPC), Bangalore, India, 2004.
  17. Rajathilagam B., “G-lets: A New Signal Processing Algorithm”, Ph.D Thesis, 2013


Dr. B. Rajathilagam
Associate Professor,
Department of Computer Science and Engineering,
Amrita Vishwa Vidyapeetham, Amritanagar PO,
Coimbatore – 641 112, Tamilnadu, INDIA.

+91 422 2685000 (Ext. 5706)
+91 9600648032

Admissions Apply Now